Interactive Information Seeking Behaviour And Retrieval
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Interactive Information Seeking, Behaviour and Retrieval
Information retrieval (IR) is a complex human activity supported by sophisticated systems. Information science has contributed much to the design and evaluation of previous generations of IR system development and to our general understanding of how such systems should be designed and yet, due to the increasing success and diversity of IR systems, many recent textbooks concentrate on IR systems themselves and ignore the human side of searching for information. This book is the first text to provide an information science perspective on IR. Unique in its scope, the book covers the whole spectrum of information retrieval, including: history and background information behaviour and seeking task-based information searching and retrieval approaches to investigating information interaction and behaviour information representation access models evaluation interfaces for IR interactive techniques web retrieval, ranking and personalization recommendation, collaboration and social search multimedia: interfaces and access. Readership: Senior undergraduates and masters' level students of all information and library studies courses and practising LIS professionals who need to better appreciate how IR systems are designed, implemented and evaluated.
Introduction to Information Retrieval
Author: Christopher D. Manning
language: en
Publisher: Cambridge University Press
Release Date: 2008-07-07
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Web Search
Author: Amanda Spink
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-09-16
The inspiration for this book emerged from the editors’ participation in a panel d- cussion on Web search engines at an annual meeting of the Association of Internet Researchers. This multidisciplinary panel of Web search researches revealed the diversity of scholars interested in Web searching, coupled with a broad range of questions, attitudes, and approaches. It became clear that more “cross-fertilization” was necessary between the disciplines to ensure Web search engines (the entities) and Web searching (the user behavior) received the thorough scholarly attention they deserved. This book is a result of that realization, and an important first step in achieving new levels of awareness and collaboration across disciplines. The book represents a core theme within the intellectual pursuits of the editors. The first editor (Spink) is an information scientist who has worked with, taught and has researched the informational dimensions of Web searching since 1997. The second editor (Zimmer) is a scholar of culture and communication who focuses on the political and ethical dimensions of new media and information technologies, and whose dissertation research focused on the value-related consequences of the quest for the “perfect” search engine.